Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 149 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
2. 2.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
4. 4.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 39 right. How many did it get wrong?
5. 5.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
7. 7.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
8. 8.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
9. 9.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
10. 10.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
11. 11.❌ Tara’s handwriting reader was tested on 26 new handwritten letters and got 18 right. How many did it get wrong?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
13. 13.🎯 Aarav’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
14. 14.❌ Nisha’s fruit sorter was tested on 28 new fruit photos and got 21 right. How many did it get wrong?
15. 15.❌ Saanvi’s spam spotter was tested on 36 new messages and got 33 right. How many did it get wrong?
16. 16.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
17. 17.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
19. 19.📦 Vihaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
21. 21.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
22. 22.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
23. 23.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
24. 24.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
25. 25.📦 Arjun collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Diya’s leaf identifier was tested on 13 new leaf photos and got 11 right. How many did it get wrong?
27. 27.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 20 new waste photos, how many should it get right?
28. 28.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
29. 29.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
30. 30.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
32. 32.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
33. 33.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
35. 35.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.❌ Ishaan’s recycling sorter was tested on 39 new waste photos and got 37 right. How many did it get wrong?
37. 37.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
38. 38.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
40. 40.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right

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